The Convergence of HPC and Artificial Intelligence: Introducing a New Era for Innovation and Scientific Discovery

Edmon Bengoli

ORNL, Chief Data Architect

The New Kind of Medical Informatics – Where AI and Data Meet

We'll discuss the new methods and techniques for medical data management, organically aided by artificial intelligence and machine learning algorithms, and accelerated by graphical processing units. We'll discuss these topics in the context of MVP CHAMPION precision medicine program, a joint program between the Department of Veterans Affairs, and the Department of Energy, and working with the largest medical datasets (VA's MVP genomic data bank, and CDW warehouse).

ABOUT THE SPEAKER: Edmon Begoli, PhD, is the Chief Data Architect and a Senior Member of the Research Staff with Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). In this role, Edmon is responsible for the research and development of the advanced data-centric platforms and solutions in support of the applied research and mission-oriented programs, and for technical oversight of the data-related research programs. He currently serves as the Principal Investigator (PI) for the DOE-VA MVP CHAMPION program. During his tenure at ORNL, Edmon also led several major national projects in healthcare and defense, and was a chief architect for Knowledge Discovery Initiative (KDI) for Centers for Medicare and Medicaid Services (CMS) -- a large national program aimed at developing a platform for comprehensive and longitudinal analysis of the largest structured healthcare dataset (CMS data).

Rick Stevens

Argonne National Laboratory & University of Chicago, Associate Lab Director

The DOE and NCI Partnership on Precision Oncology and the Cancer Moonshot

The Cancer Moonshot was established in 2016 with the goal to double the rate of progress in cancer research -- to do in five years what normally would take 10. A major area for the acceleration of progress is the strategy to use modeling, simulation, and machine learning to advance our understanding of cancer biology and to integrate what is known into predictive models that can inform research and guide therapeutic developments. In 2015, the U.S. Department of Energy formed a collaboration with the National Cancer Institute for the joint development of advanced computing solutions for cancer.

ABOUT THE SPEAKER: Rick Stevens has been at Argonne since 1982, and has served as director of the Mathematics and Computer Science Division and also as acting associate laboratory director for Physical, Biological, and Computing Sciences. He is leader of Argonne's Petascale Computing Initiative, a professor of computer science and senior fellow of the Computation Institute at the University of Chicago, and a professor at the University's Physical Sciences Collegiate Division. From 2000-2004, Rick served as director of the National Science Foundation's TeraGrid Project, and from 1997-2001 he served as chief architect for the National Computational Science Alliance.

Tom Gibbs

The Convergence of HPC and Artificial Intelligence: Introducing a New Era for Innovation and Scientific Discovery

In the next 5 years three important factors are converging to increase in the pace and depth of scientific discovery. High Performance Computing (HPC) systems are evolving toward Exascale class, where throughput for is projected to increase by 50X for traditional simulation assisted science. In that time frame a new class of applications and workflows based on Deep Learning (DL) and Artificial Intelligence (AI) are emerging, where early examples highlight the potential to improve performance by 2 or more orders of magnitude with improved accuracy. Also, there are important new experiments and clinical systems that will increase the volume and resolution of data by 10X or more from sources that range from outer space, to subatomic particles, the human genome and cellular biology. We'll provide an historical overview of the opportunity and challenges we can expect to encounter to seize these new technologies, and then give multiple examples real world problems.

ABOUT THE SPEAKER: Tom is currently responsible for strategy and implementation of programs to enable and promote developers to take full advantage of NVIDIA technology. Tom brings over 25 years of experience in HPC, and has applications expertise in industries ranging from Aerospace to General Science, Healthcare, Life Sciences, Energy and Financial Services. Prior to NVIDIA Tom held senior management positions for early stage cloud startup companies in the healthcare market segment. He spent 15 years with the Intel Corporation, where he managed a global team responsible for leading innovation programs at CERN, NCSA, British Petroleum and Morgan Stanley as Director of Strategy and Architecture in the Solutions Group. During his time at Intel Tom was part of the HPC Business Unit responsible for ASCI RED and other large scale computing systems. Tom was a past Chairman of the Open Grid Forum and a member of the Center for Excellence in Supply Chain Management at MIT.